Tag Archives: plot

Webinar with R trading with complete workflow to build strategy, plot, P&L, rules, indicator, signal, portfolio summary ,trade signal stats

Webinar with R  trading including complete workflow to build strategy, plot, P&L, rules, indicator, signal, portfolio summary ,compute trade/signal statistics

This demo coming soon will contain the following steps:

  1. create the porfolio and account
  2. Plot something like simple moving average
  3. Create your Buy-Sell rules from creating potential short/long positions to exit position
  4. Calculate P&L and resulting equity
  5. Plot the performance
  6. Initialize your set of orders
  7. Crate a new strategy
  8. Add a potential indicator to the strategy
  9. Add a rule to the strategy
  10. Add a signal to the strategy
  11. Execute the strategy
  12. Update the P&L
  13. Plot the portfolio summary time series
  14. Compute return and trade statistics

 

 

Be on the lookout by signing up here for this strategy as we will announce the demo date to the public. It will be very limited as it will only be demonstrated once. After that, it will only be available to our Premium Members.

 

UPDATE: There will be 3 separate webinars for each part to be demoed.

HOW DO YOU START A PROFITABLE TRADING BUSINESS? Read more NOW >>>

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Quant analytics: Principle component analysis and Linear discrimination analysis!, tools to visualize Screen and plot, PCA?

Quant analytics: Principle component analysis and Linear discrimination analysis!, tools to visualize Screen and plot, PCA?

hi, can anyone share me the information about Principle component analysis and Linear discrimination analysis!, what kind of software i can use to visualize Scree plot, PCA plot ..? many thanks

 

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What exactly u wanna know in Principal Component Analysis(PCA)? Caz To know PCA u shd have atleast basic knowledge of Matrix(addition, subtraction, multiplication, inverse etc.) because PCA deals with variance-covariance matrix(or Sigma Matrix) & it helps in data reduction & data interpretation and used manly for factoring the sigma matrix for the factor analysis.
Discriminant analysis is completely different concept caz in this we concern with sorting objects into 2 or more classes. This technique is used when the dependent variable is categorical & independent variable is cardinal.
& u can use SPSS for these techniques

 

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For addition, PCA not to reduce data but to reduce dimension of the data. This analysis is used when you want to use all of the variable but there is collinearity among them. in my experience PCA is just intermediary analysis before go to factor analysis or regression. You can use either SAS, SPSS or minitab to conduct this analysis.

 

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thank you very much for the post, actually i do have results for different samples form different country generated by an equipement that i use, Following the litteratures, i believe that i can assess the purity and the autenticity of these samples. moreover i can assess the origine of thess samples by sorting the them into similarity groupes!.
many litteratures uses different approashes like PCA, LDA, DA, PLS, and cluster analysis, and sometimes they use combine PCA and LDA to assess the data
for me i would like to know whish best approach i can use for the purpose.

 

 

HOW DO YOU START A PROFITABLE TRADING BUSINESS? Read more NOW >>>

NOTE I now post my TRADING ALERTS into my personal FACEBOOK ACCOUNT and TWITTER. Don't worry as I don't post stupid cat videos or what I eat!